diff --git a/docs/docs/integrations/providers/oxylabs.mdx b/docs/docs/integrations/providers/oxylabs.mdx
new file mode 100644
index 00000000000..30b2093336b
--- /dev/null
+++ b/docs/docs/integrations/providers/oxylabs.mdx
@@ -0,0 +1,18 @@
+# Oxylabs
+
+[Oxylabs](https://oxylabs.io/) is a market-leading web intelligence collection platform, driven by the highest business,
+ethics, and compliance standards, enabling companies worldwide to unlock data-driven insights.
+
+[langchain-oxylabs](https://pypi.org/project/langchain-oxylabs/) implements
+tools enabling LLMs to interact with Oxylabs Web Scraper API.
+
+
+## Installation and Setup
+
+```bash
+pip install langchain-oxylabs
+```
+
+## Tools
+
+See details on available tools [here](/docs/integrations/tools/oxylabs/).
diff --git a/docs/docs/integrations/tools/oxylabs.ipynb b/docs/docs/integrations/tools/oxylabs.ipynb
new file mode 100644
index 00000000000..2c459682dcc
--- /dev/null
+++ b/docs/docs/integrations/tools/oxylabs.ipynb
@@ -0,0 +1,298 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "65142ccb18a6add5",
+   "metadata": {},
+   "source": "# Oxylabs"
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19976df355f9c461",
+   "metadata": {},
+   "source": [
+    ">[Oxylabs](https://oxylabs.io/) is a market-leading web intelligence collection platform, driven by the highest business, ethics, and compliance standards, enabling companies worldwide to unlock data-driven insights.\n",
+    "\n",
+    "## Overview\n",
+    "\n",
+    "This package contains the LangChain integration with Oxylabs, providing tools to scrape Google search results with Oxylabs Web Scraper API using LangChain's framework.\n",
+    "\n",
+    "The following classes are provided by this package:\n",
+    "- `OxylabsSearchRun` - A tool that returns scraped Google search results in a formatted text\n",
+    "- `OxylabsSearchResults` - A tool that returns scraped Google search results in a JSON format\n",
+    "- `OxylabsSearchAPIWrapper` - An API wrapper for initializing Oxylabs API"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76e6d8030199710d",
+   "metadata": {},
+   "source": [
+    "|             Pricing             |\n",
+    "|:-------------------------------:|\n",
+    "| ✅ Free 5,000 results for 1 week |"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eb59c5f3051be9d4",
+   "metadata": {},
+   "source": "## Setup"
+  },
+  {
+   "cell_type": "markdown",
+   "id": "45951d881c460419",
+   "metadata": {},
+   "source": "Install the required dependencies."
+  },
+  {
+   "cell_type": "code",
+   "id": "576e08c41f16ceda",
+   "metadata": {},
+   "source": [
+    "%pip install -qU langchain-oxylabs"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ce19bb3a52a3ab60",
+   "metadata": {},
+   "source": "### Credentials"
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b8330dfd5861482e",
+   "metadata": {},
+   "source": "Set up the proper API keys and environment variables. Create your API user credentials: Sign up for a free trial or purchase the product in the [Oxylabs dashboard](https://dashboard.oxylabs.io/en/registration) to create your API user credentials (OXYLABS_USERNAME and OXYLABS_PASSWORD)."
+  },
+  {
+   "cell_type": "code",
+   "id": "474b6eaf6e35efda",
+   "metadata": {},
+   "source": [
+    "import getpass\n",
+    "import os\n",
+    "\n",
+    "os.environ[\"OXYLABS_USERNAME\"] = getpass.getpass(\"Enter your Oxylabs username: \")\n",
+    "os.environ[\"OXYLABS_PASSWORD\"] = getpass.getpass(\"Enter your Oxylabs password: \")"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ae310f86b113bd78",
+   "metadata": {},
+   "source": "## Instantiation"
+  },
+  {
+   "cell_type": "code",
+   "id": "69ea8139f6152b48",
+   "metadata": {},
+   "source": [
+    "from langchain_oxylabs import OxylabsSearchAPIWrapper, OxylabsSearchRun\n",
+    "\n",
+    "oxylabs_wrapper = OxylabsSearchAPIWrapper()\n",
+    "tool_ = OxylabsSearchRun(wrapper=oxylabs_wrapper)"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "markdown",
+   "id": "636efff6267b9bc1",
+   "metadata": {},
+   "source": "## Invocation"
+  },
+  {
+   "cell_type": "markdown",
+   "id": "272f5fdaed5fa000",
+   "metadata": {},
+   "source": "### Invoke directly with args"
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3c26724911f6cfdf",
+   "metadata": {},
+   "source": "The `OxylabsSearchRun` tool takes a single \"query\" argument, which should be a natural language query and returns combined string format result:"
+  },
+  {
+   "cell_type": "code",
+   "id": "b5f4d423cb3abf",
+   "metadata": {},
+   "source": [
+    "tool_.invoke({\"query\": \"Restaurants in Paris.\"})"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "markdown",
+   "id": "784aad18bba31062",
+   "metadata": {},
+   "source": "### Invoke with ToolCall"
+  },
+  {
+   "cell_type": "code",
+   "id": "8afd1652e2c4e7c9",
+   "metadata": {},
+   "source": [
+    "tool_ = OxylabsSearchRun(\n",
+    "    wrapper=oxylabs_wrapper,\n",
+    "    kwargs={\n",
+    "        \"result_categories\": [\n",
+    "            \"local_information\",\n",
+    "            \"combined_search_result\",\n",
+    "        ]\n",
+    "    },\n",
+    ")"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "code",
+   "id": "1b903fb2f8272df2",
+   "metadata": {},
+   "source": [
+    "from pprint import pprint\n",
+    "\n",
+    "model_generated_tool_call = {\n",
+    "    \"args\": {\n",
+    "        \"query\": \"Visit restaurants in Vilnius.\",\n",
+    "        \"geo_location\": \"Vilnius,Lithuania\",\n",
+    "    },\n",
+    "    \"id\": \"1\",\n",
+    "    \"name\": \"oxylabs_search\",\n",
+    "    \"type\": \"tool_call\",\n",
+    "}\n",
+    "tool_call_result = tool_.invoke(model_generated_tool_call)\n",
+    "\n",
+    "# The content is a JSON string of results\n",
+    "pprint(tool_call_result.content)"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a436fc39ce17b6da",
+   "metadata": {},
+   "source": [
+    "## Use within an agent\n",
+    "Install the required dependencies."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "a6f23e65092e8d27",
+   "metadata": {},
+   "source": "%pip install -qU \"langchain[openai]\" langgraph",
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "code",
+   "id": "21078a0c265759ff",
+   "metadata": {},
+   "source": [
+    "import getpass\n",
+    "import os\n",
+    "\n",
+    "from langchain.chat_models import init_chat_model\n",
+    "\n",
+    "os.environ[\"OPENAI_API_KEY\"] = getpass.getpass(\"Enter API key for OpenAI: \")\n",
+    "llm = init_chat_model(\"gpt-4o-mini\", model_provider=\"openai\")"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "code",
+   "id": "396548ee2f08fb30",
+   "metadata": {},
+   "source": [
+    "from langgraph.prebuilt import create_react_agent\n",
+    "\n",
+    "# Initialize OxylabsSearchRun tool\n",
+    "tool_ = OxylabsSearchRun(wrapper=oxylabs_wrapper)\n",
+    "\n",
+    "agent = create_react_agent(llm, [tool_])\n",
+    "\n",
+    "user_input = \"What happened in the latest Burning Man floods?\"\n",
+    "\n",
+    "for step in agent.stream(\n",
+    "    {\"messages\": user_input},\n",
+    "    stream_mode=\"values\",\n",
+    "):\n",
+    "    step[\"messages\"][-1].pretty_print()"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b10bbcf5ce299fd5",
+   "metadata": {},
+   "source": [
+    "## JSON results\n",
+    "`OxylabsSearchResults` tool can be used as an alternative to `OxylabsSearchRun` to retrieve results in a JSON format:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "id": "ef0d856f571c4938",
+   "metadata": {},
+   "source": [
+    "import json\n",
+    "\n",
+    "from langchain_oxylabs import OxylabsSearchResults\n",
+    "\n",
+    "tool_ = OxylabsSearchResults(wrapper=oxylabs_wrapper)\n",
+    "\n",
+    "response_results = tool_.invoke({\"query\": \"What are the most famous artists?\"})\n",
+    "response_results = json.loads(response_results)\n",
+    "\n",
+    "for result in response_results:\n",
+    "    for key, value in result.items():\n",
+    "        print(f\"{key}: {value}\")"
+   ],
+   "outputs": [],
+   "execution_count": null
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f16702d224dabb2",
+   "metadata": {},
+   "source": [
+    "## API reference\n",
+    "More information about this integration package can be found here: https://github.com/oxylabs/langchain-oxylabs\n",
+    "\n",
+    "Oxylabs Web Scraper API documentation: https://developers.oxylabs.io/scraper-apis/web-scraper-api\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 2
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython2",
+   "version": "2.7.6"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/libs/packages.yml b/libs/packages.yml
index 23f86fd6b8d..b77921a3de5 100644
--- a/libs/packages.yml
+++ b/libs/packages.yml
@@ -564,4 +564,7 @@ packages:
   repo: memgraph/langchain-memgraph
 - name: langchain-vectara
   path: libs/vectara
-  repo: vectara/langchain-vectara
\ No newline at end of file
+  repo: vectara/langchain-vectara
+- name: langchain-oxylabs
+  path: .
+  repo: oxylabs/langchain-oxylabs
\ No newline at end of file